Borrowing it
Nothing to install: this file belongs to tonkotsuboy/x-impact-checker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tonkotsuboy/x-impact-checker/main/CLAUDE.mdgit clone --depth 1 https://github.com/tonkotsuboy/x-impact-checkerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/tonkotsuboy/x-impact-checker/claude-md)<a href="https://agentmods.dev/instructions/tonkotsuboy/x-impact-checker/claude-md"><img src="https://agentmods.dev/badge/instructions/tonkotsuboy/x-impact-checker/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/tonkotsuboy/x-impact-checker/claude-md"><img src="https://agentmods.dev/badge/instructions/tonkotsuboy/x-impact-checker/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00506 | $0.00506 |
| Opus 5 | $0.00253 | $0.00253 |
| Sonnet 5 | $0.00101 | $0.00101 |
| Haiku 4.5 | $0.00051 | $0.00051 |
Grade A, and why
x-impact-checker CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
X Impact Checker is a Claude skill that analyzes X (Twitter) posts for viral potential based on X's official recommendation algorithm.
Purpose: Predict engagement and provide optimization suggestions before posting using X's official recommendation algorithm scoring system
Technology: Documentation-based skill (markdown only, no codebase)
Repository Structure
/
├── .claude/rules/project-conventions.md # Language and commit standards
├── skills/x-impact-checker/
│ ├── SKILL.md # Skill definition and scoring criteria
│ └── references/algorithm-weights.md # X algorithm reference
├── README.md # Bilingual documentation (EN/JP)
└── LICENSE # Apache 2.0
Core Components
SKILL.md
Main skill logic with 3-tier scoring system (Core/Extended/Relationship Engagement + Negative Signals), evaluation criteria, and improvement strategies in ❌ Bad / ⚠️ Better / ✅ Best format.
algorithm-weights.md
Technical reference for X's algorithm: engagement signals, weight coefficients from weighted_scorer.rs, conditional logic (VQV threshold), and normalization.
Scoring Architecture
100-point system with penalty dampening:
Final Score = Base Score (0-100) + Penalties (-75 to 0)
Normalized = max(0, min(100, Final Score))
Key characteristics:
- Reply (22 points) is highest weighted - conversation drives visibility
- Multiple share types distinguished (general/DM/link copy)
- Two dwell time types (initial read/continuous engagement)
- Videos require 5+ seconds for full score (VQV condition)
- Negative signals dampened to prevent over-penalization
Design Decisions
- Codeless architecture: Heuristic text analysis, not ML model
- Conservative scoring: Unknown elements get baseline scores
- Optimization-focused: Pre-publishing tool, not post-hoc analytics
- Language-agnostic: Detects input language, responds in same language
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 60 lines · 506 tokens per session scan A 914c36e17ecd
x-impact-checker CLAUDE.md is an instructions file published in the GitHub repository tonkotsuboy/x-impact-checker (36 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 506 tokens to every session, about $0.0025 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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